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For more realism, we assume that service as well as travel times are stochastic and also that there are multiple depots.
Users may have special requirements (e.g. to be transported in a wheelchair) while service providers operate a heterogeneous fleet of vehicles from multiple depots in their service area.
In this study, we develop a fuzzy bilevel programming model for minimizing the total expected transportation risk when delivering products of hazardous materials to customers from multiple depots.
Here, we propose a fuzzy mathematical programming model for a supply chain which considers multiple depots, multiple vehicles, multiple products, multiple customers, and different time periods.
This paper discusses the multi-depot, multi-vehicle-type bus scheduling problem (MDVSP), involving multiple depots for vehicles and different vehicle types for timetabled trips.
In this paper, in order to solve the minsum MTSP with multiple depots, closed path, and the requirement of minimum number of cities each salesman should visit, we propose two partheno genetic algorithms (PGA).
Similar(45)
The generalized multiple depot traveling salesmen problem (GMDTSP) is a variant of the multiple depot traveling salesmen problem (MDTSP), where each salesman starts at a distinct depot, the targets are partitioned into clusters and at least one target in each cluster is visited by some salesman.
We decompose the CLRP into facility location problem (FLP) and multiple depot vehicle routing problem (MDVRP), where the latter one is treated as a sub problem within the first problem.
The multiple-depot vehicle-type scheduling problem (MDVTSP) is an extension of the classic multiple-depot vehicle scheduling problem (MDVSP), where heterogeneous fleet is considered.
In this paper we propose various neighborhood search heuristics (VNS) for solving the location routing problem with multiple capacitated depots and one uncapacitated vehicle per depot.
Karastergiou, K. & Fried, S. K. Multiple adipose depots increase cardiovascular risk via local and systemic effects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com